


"""simple docstring"""



import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp
def      UpperCAmelCase     (       )						-> str:


	"""simple docstring"""




	lowerCAmelCase_      							=			ArgumentParser(
	    description=(
	        '''PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes'''
	    )	)

	# Optional arguments for the launch helper
	parser.add_argument('''--num_cores'''			,   type=_lowercase			,   default=1			,   help='''Number of TPU cores to use (1 or 8).'''	)

	# positional
	parser.add_argument(
	    '''training_script'''			,   type=_lowercase			,   help=(
	        '''The full path to the single TPU training '''
	        '''program/script to be launched in parallel, '''
	        '''followed by all the arguments for the '''
	        '''training script'''
	    )			,   )

	# rest from the training program
	parser.add_argument('''training_script_args'''			,   nargs=_lowercase	)

	return parser.parse_args()
def      UpperCAmelCase     (       )						-> List[Any]:


	"""simple docstring"""




	lowerCAmelCase_      							=			parse_args()

	# Import training_script as a module.
	lowerCAmelCase_      							=			Path(args.training_script	)
	sys.path.append(str(script_fpath.parent.resolve()	)	)
	lowerCAmelCase_      							=			script_fpath.stem
	lowerCAmelCase_      							=			importlib.import_module(_lowercase	)

	# Patch sys.argv
	lowerCAmelCase_      							=			[args.training_script] + args.training_script_args + ['''--tpu_num_cores''', str(args.num_cores	)]

	xmp.spawn(mod._mp_fn			,   args=()			,   nprocs=args.num_cores	)


if __name__ == "__main__":
		main()



"""simple docstring"""



def      UpperCAmelCase     (       _lowercase :   Optional[Any]	)						-> Tuple:


	"""simple docstring"""




	lowerCAmelCase_      							=			len(_lowercase	)
	lowerCAmelCase_      							=			sum(_lowercase	)

	lowerCAmelCase_      							=			[[False for x in range(s + 1	)] for y in range(n + 1	)]

	for i in range(1			,   n + 1	):
		lowerCAmelCase_      							=			True

	for i in range(1			,   s + 1	):
		lowerCAmelCase_      							=			False

	for i in range(1			,   n + 1	):
		for j in range(1			,   s + 1	):
			lowerCAmelCase_      							=			dp[i][j - 1]

			if arr[i - 1] <= j:
				lowerCAmelCase_      							=			dp[i][j] or dp[i - 1][j - arr[i - 1]]

	for j in range(int(s / 2	)			,   -1			,   -1	):
		if dp[n][j] is True:
			lowerCAmelCase_      							=			s - 2 * j
			break

	return diff